The fundamentals of people analytics : with applications in R / Craig Starbuck.
2023
HD4904.7
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Details
Title
The fundamentals of people analytics : with applications in R / Craig Starbuck.
Author
ISBN
9783031286742 (electronic bk.)
303128674X (electronic bk.)
9783031286735
3031286766
9783031286766
3031286731
303128674X (electronic bk.)
9783031286735
3031286766
9783031286766
3031286731
Published
Cham : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xvi, 380 pages)
Item Number
10.1007/978-3-031-28674-2 doi
Call Number
HD4904.7
Dewey Decimal Classification
658.3072/7
Summary
Human capital is an organization’s most important asset. Without the knowledge and skills of people, an organization can accomplish nothing. The acquisition, development, and retention of critical talent has become increasingly more complex and challenging, and organizations are making significant investments to gain a deeper, data-informed understanding of organizational phenomena impacting the bottom line. This book prepares current and aspiring analytics professionals to effectively address this need by curating key concepts spanning the entire analytics lifecycle, along with step-by-step instructions for their applications to real-world problems, using ubiquitous and freely available open-source software. This book does not assume prior knowledge of statistics, how to query databases, or how to write performant code; early chapters include an introduction to R and SQL as well as an overview of statistical foundations. By the end of this book, readers will be able to: • Design and conduct empirical research • Query and wrangle data using SQL • Profile, clean, and analyze data using R • Apply appropriate statistical and ML models to a range of people analytics use cases • Package and present analyses to communicate impactful insights to stakeholders This is an open access book. This comprehensive volume combines relevant people analytics examples, comprehensive treatment of statistical and analytical considerations and approaches, and useful sample code into a readable and relevant package. This is an essential guide for those in the People Analytics space looking to build their analytical capabilities. - Alexis Fink, PhD, VP of People Analytics & Workforce Strategy @ Meta.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Open access
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 13, 2023).
Available in Other Form
Print version: 9783031286735
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Table of Contents
1. Getting Started
2. Introduction to R
3. Introduction to SQL
4. Research Design
5. Measurement & Sampling
6. Data Preparation
7. Descriptive Statistics
8. Statistical Inference
9. Analysis of Differences
10. Linear Regression
11. Linear Model Extensions
12. Logistic Regression
13. Predictive Modeling
14. Unsupervised Learning
15. Data Visualization
16. Data Storytelling.
2. Introduction to R
3. Introduction to SQL
4. Research Design
5. Measurement & Sampling
6. Data Preparation
7. Descriptive Statistics
8. Statistical Inference
9. Analysis of Differences
10. Linear Regression
11. Linear Model Extensions
12. Logistic Regression
13. Predictive Modeling
14. Unsupervised Learning
15. Data Visualization
16. Data Storytelling.